Data Analyst - Finance (IGT1 Lanka: Billtrust)

IGT1 Lanka is a rapidly growing offshore technology and talent solutions company based in Port City Colombo. We are a fully owned subsidiary of IGT I Holdings Sweden AB, funded by the three of world’s leading private equity firms; EQT Group, Hg, and TA Associates. We’re also proud to be a sister company of IFS, Sri Lanka’s largest and most established technology company. 

At IGT1 Lanka, we partner with global businesses to scale operations, accelerate innovation, and build world-class SaaS platforms through high-quality offshore delivery. Our people-first culture champions diversity, teamwork, and continuous learning, creating an environment where talent thrives. 

With a team of over 400 professionals and counting, we are always looking for passionate, skilled individuals who want to make a global impact while being part of something extraordinary. 

Through our offshore collaboration model, you'll be embedded within the team of one of our esteemed international clients, contributing directly to high-impact, enterprise-level initiatives. 

Billtrust makes it easier for B2B companies to get paid. We’ve been the leading innovator in AR automation for nearly two decades and continue accelerating. Our customers span 40+ industries, and we lead with double digit market share in many of the industries we serve. We provide automated order-to-cash solutions that meet diverse buyer requirements and speed cash application through tailored invoice delivery, secure multi-channel payment enablement and intelligent matching and payment posting. Our unparalleled expertise in AR informs everything that we do. No one is better positioned to understand and solve for the needs of every individual AR department. We innovate by pushing automation into new areas like our supplier-driven payments network, automated invoice delivery into AP portals and our automated credit application process. We drive results by helping our customers increase electronic adoption of invoices and payments and widening technology bottlenecks. Amazing customer experiences are possible with our connected solutions. We give our customers the power to conduct business unencumbered by manual interactions.

Job Summary

We are seeking a highly analytical and detail-oriented Offshore Data Analyst to support our Finance organization and business teams. This role serves as the critical link between financial data insights and business decision-making, providing accurate reporting, forecasting, and data-driven recommendations. The ideal candidate will have strong expertise in financial analysis, data visualization, and SaaS-based financial modeling.

Key Responsibilities

• Collaborate with Finance and business stakeholders to gather, analyze, and interpret financial data.
• Develop and maintain financial dashboards, reports, and models to support strategic decision-making.
• Perform variance analysis, trend identification, and data reconciliation across multiple systems.
• Provide insights into financial performance, KPIs, and operational efficiencies.
• Assist in budgeting, forecasting, and financial planning processes.
• Ensure data integrity and accuracy through rigorous validation and review.
• Work closely with IT and Data Engineering teams to optimize data sources and automation.
• Present findings and actionable recommendations to senior leadership.

• Bachelor's degree in Finance, Economics, Data Science, or related field.
• 3+ years of experience in financial data analysis, preferably in a SaaS or FinTech environment.
• Strong proficiency in Excel, SQL, Power BI, and other analytics tools.
• Knowledge of financial modeling, forecasting techniques, and data visualization.
• Excellent communication and stakeholder management skills.
• Ability to work independently in an offshore setup while maintaining high responsiveness and collaboration.
• This job requires the candidate to to be working during 8am to 5pm US Eastern Time Zone hours

Preferred Qualifications

• Experience working with ERP, CRM, or SaaS subscription billing platforms.
• Exposure to machine learning or predictive analytics in finance.
• Familiarity with compliance, risk analysis, and financial auditing processes